Archive for the 'Postgraduate Training' category

The 30 min grad school interview

Feb 04 2013 Published by under Mentoring, Postgraduate Training

'Tis the time of the year for interviewing graduate school candidates. The exact purposes vary from a significant selection process to "just make sure s/he isn't completely bonkers, okay?".

Michael Eisen asked on the Twitts:

what do people think are the most useful things to ask in a 30m grad school interview?

After a wisecrack or two I came up with a serious one.

"tell me about the moment you first realized you weren't the smartest person in the room?"

What would you suggest, Dear Reader?

57 responses so far

Shut off the PhD tap

Jan 28 2013 Published by under Fixing the NIH, NIH, Postgraduate Training

We need to stop training so many PhD scientists.

It is overwhelmingly clear that much of the quotidian difficulty vis a vis grant funding is that we have too many mouths at the NIH grant trough. The career progression for PhDs in biomedicine has experienced a long and steady process of delay, impediment, uncertainty and disgruntlement, things have only gotten worse since this appeared in Science in 2002.

The panel's co-chair, biologist Torsten Wiesel of Rockefeller University in New York City, is surprised to learn that this aging trend continues today: “You'd think with all the money that's going into NIH, [young scientists] would be doing better.” His co-chair, biologist Shirley Tilghman, now president of Princeton University, says simply, “It's appalling.” The data reviewed by the panel in 1994 looked “bad,” she says, “but compared to today, they actually look pretty good.” She adds: “The notion that our field right now has such a tiny percentage of people under the age of 35 initiating research … is very unhealthy and very worrisome.” ...Experts differ on why older biomedical researchers are receiving a growing share of the pie these days and on what should be done about it. But they agree on the basic problem: The system is taking longer to launch young biologists.

We need to turn off the tap. Stop training so many PhDs.

NDBSlide243_012813This is going to hurt the many, many of us (and therefore the NIH) who depend on the undervalued labor of graduate students. This chart (click to enlarge it) from the NIH RePORTER site shows the relatively slow increase in NIH funded fellowships and traineeships compared with the more rapid increase in research assistantships (light blue). Read: graduate students paid directly from research grants. The more graduate students we "train" in this way, the more we need to secure more R01s and other R-mech grants to support them.

Spare me your anecdotes about how graduate students cost as much as postdocs or technicians (to your NIH R-mechanism or equivalent research grants). If they weren't good value, you'd switch over. The system, as a whole, is most certainly finding value in exploiting the labor of graduate students on the promise of a career that is now uncertain to be realized. This is because the charging of tuition and fees is still incomplete. Because students have the possibility at some point during the tenure in our laboratories of landing supporting fellowships of various kinds. Because some departments still receive substantial Teaching Assistant funds to support graduate students (and simultaneously ease the work of allegedly professing Professors). And above all else, because we are able to pull off an exploitative culture in which graduate students are induced to work crazy hard in a Hunger Games style bloodthirsty competition for the prize....and Assistant Professor appointment.

It is going to hurt undergraduates who may wish to become PhDs and now cannot compete successfully for an admission to what are, presumably, going to become increasingly selective programs. I regret this. I am a huge fan of the democracy of our academic system and I wish to let all who have an interest...try. I have come to the belief that at this particular juncture, the costs are simply too high. The ratio of those who enter in pursuit of a particular outcome (Professordom) to those who achieve it is just too low. We need to rebalance. Part of the pain will fall on the undergraduate who wishes a career in science. Their chance to compete will be abrogated.

This is, in the short term, going to hurt the NIH's output per grant dollar. Across the board, this labor is going to have to be replaced with research technicians*. People who get regular raises, benefits and work a more traditional number of hours per week.

But it will shrink the balloon of PhD trained people who are hankering to get into the NIH system as, eventually, grant-funded PIs. This will be a good thing in the end.

UPDATE 01/29/13: Check this out!

via ChemJobber
My honest disclosure is that this one is painless for past me and current me. First, I was a fairly decent candidate for graduate school when I applied. I looked good on paper, etc. I assume that I would still have been competitive for at least one of the four offers I received out of five applications. Second, I have made my way as an investigator without much reliance on graduate students labor. So for me, this one is painless. Shutting off the tap of graduate trainees wouldn't have changed the way I have done research up to this point.

*One likely outcome is that graduate training and postdoctoral training is going to have to include more managerial approaches. Yes, this happens spottily across all of bioscience at present but as a population, it will increase. It will involve more supervision of techs earlier in the PhD training arc. I think this is a good thing.

119 responses so far

Tragedy of the NIH Commons

Jan 23 2013 Published by under NIH, NIH Careerism, NIH funding, Postgraduate Training

From the San Diego Union Tribune:

...a fresh look under new Chancellor Pradeep Khosla. The discussions will last into next year and are likely to lead to expansion. Khosla has said that UCSD should be closer to UC Berkeley and UCLA when it comes to graduate student enrollment. About 30 percent of the students at those two schools are graduate students. The figure is roughly 20 percent at UCSD, and only about one-third of those students are Ph.D candidates.

Khosla told U-T San Diego that the campus probably could add 1,000 doctoral students at no additional cost because their tuition and stipends are paid from the research grants obtained by faculty. UCSD gets about $1 billion a year in research grants, ranking the campus among the top 10 nationally.

The part that I bolded tells the tale. The tale of our recent history during the NIH doubling in which all and sundry sought to increase their University standing and prestige "for free" on the Federal grant dime.

Khosla appears to be remarkably out of touch with current reality if he thinks this continues to be a winning strategy.

Perhaps he should survey his faculty and ask them who anticipates being able to swing more grad student positions (for 5-6 years) in the future based on their grants.

46 responses so far

Reviewing your CV by Journal Impact Factor

So one of the Twitts was recently describing a grant funding agency that required listing the Impact Factor of each journal in which the applicant had published.

No word on whether or not it was the IF for the year in which the paper was published, which seems most fair to me.

It also emerged that the applicant was supposed to list the Journal Impact Factor (JIF) for subdisciplines, presumably the "median impact factor" supplied by ISI. I was curious about the relative impact of listing a different ISI journal category as your primary subdiscipline of science. A sample of ones related to the drug abuse sciences would be:

Neurosciences 2.75
Substance Abuse 2.36
Toxicology 2.34
Behavioral Sciences 2.56
Pharmacology/Pharmacy 2.15
Psychology 2.12
Psychiatry 2.21

Fascinating. What about...
Oncology 2.53
Surgery 1.37
Microbiology 2.40
Neuroimaging 1.69
Veterinary Sciences 0.81
Plant Sciences 1.37

aha, finally a sub-1.0. So I went hunting for some usual suspects mentioned, or suspected, as low-cite rate disciplines..
Geology 0.93
Geosciences, multidisc 1.33
Forestry 0.87
Statistics and Probability 0.86
Zoology 1.06
Forestry 0.87
Meteorology 1.67

This a far from complete list of the ISI subdisciplines (and please recognize that many journals can be cross-listed), just a non-random walk conducted by YHN. But it suggests that range is really restricted, particularly when it comes to closely related fields, like the ones that would fall under the umbrella of substance abuse.

I say the range is restricted because as we know, when it comes to journals in the ~2-4 IF range within neuroscience (as an example), there is really very little difference in subjective quality. (Yes, this is a discussion conditioned on the JIF, deal.)

It requires, I assert, at least the JIF ~6+ range to distinguish a manuscript acceptance from the general herd below about 4.

My point here is that I am uncertain that the agency which requires listing disciplinary medians JIFs is really gaining an improved picture of the applicant. Uncertain if cross-disciplinary comparisons can be made effectively. You still need additional knowledge to understand if the person's CV is filled with Journals that are viewed as significantly better than average within the subfield. About all you can tell is that they are above or below the median.

A journal which bests the Neurosciences median by a point (3.75) really isn't all that impressive. You have to add something on the order of 3-4 IF points to make a dent. But maybe in Forestry if you get to only a 1.25 this is a smoking upgrade in the perceived awesomeness of the journal? How would one know without further information?

15 responses so far

PSA on Journal selection

Academic trainees should not be publishing in journals that do not yet have Impact Factors. Likewise they should not be publishing in journals that are not indexed by the major search database (like PubMed) used in their field.

43 responses so far

Expectations for trainee publication output

A question arrived about publication expectations for trainees at the blog mailbox recently.

I was wondering if you would consider a blog post and perhaps encouraging discussion on a related topic, on how do you evaluate your student/postdoc performance and how common is the 1 paper/yr "rule"?

At the outset I was skeptical that much use would come of trying to answer this because the real answer is "It depends very much on subfield and ultimate career aspirations, therefore broad sweeping pronouncements are of little value.". And this is true. But what the heck? I'll give you my thoughts from my point of view, no doubt some others will go shitnutz about how it is clearly different and maybe we can hash out the space of useful answers.

Some detailed stuff that I thought about, but often are not discussed thoroughly include:
- I always assumed that when people talk about 1 paper/yr it refers to 1 first-author paper but not in a top-tier journal (usually "best in the sub-field" journal, e.g. Org. Lett., J. Med. Chem., etc.)

Yeah. I think one paper per year is a pretty good general starting point. Emphasis on general. For trainees, I think this average will be lower, ditto if you only count first-author papers. But it is a pretty good target expectation for the central tendency. One first author per year in a "top tier" journal is a ridiculously absurd expectation for postdocs. Even one per year in a "top tier" journal as senior author is only possible for the very top laboratories and is therefore not the expectation for everyone. If you can do it, good on you, but it ain't typical. So if you are in a place where you think this is the standard for postdocs? please. I'm familiar with a lab that has probably one of the highest CNS counts ever and the postdocs do not hit one CNS pub per year as first author. They have not done so over the ~15 years I've been watching the lab's production. So anyone who does this out there in the whole postdoc population is the rare exception.

- How do you factor in non-1st author papers? Ignoring the effects of journal IF, would one 1st-author paper = two 2nd-author paper?

There is no direct relationship, I would argue. Non-substitutable quantities. No amount of non-first author papers makes up for not having any first-author papers. They are just that important in the minds of many people, including me. Conversely, the existence of some 2nd-Xth author papers is better than not having any, because more is better when it comes to publications on the CV. I suppose at some point there would be a balance point in which too many Nth author papers starts to subtract from the credit generated by the first-author list. It would be related to the thought of "why doesn't this trainee have more firsts if she is this experimentally productive?".

- Do people even consider anything greater than 2nd-authorship (i.e. having 3rd authorship is basically useless or not counted)? If so, does the level of the prestige of the journal change this perception (i.e. having 3rd authorship in PNAS is equivalent to a 1st-author in some 2nd-tier journal like Biochemistry)?

In my view, no, the Nth author on an article in a higher IF journal doesn't trump first-author in a lesser journal. See above, the Nth authorships count but I would say they are independent of the first-author credits. So within the sphere of Nth authorships, sure, the higher IF is better.

- How do you factor in the prestige or IF of the journal? Does publishing in Science/Nature/Cell count as having 2-3 1st-author papers in 2nd-tier journals?

Indubitably the CNS first-author counts more than several first-authors in lesser journals. One might even suggest that CNS first-author as a postdoc trumps infinity non-CNS first-authors. For some situations. There are those that assert that the presence/absence of very specific journals on the CV is the difference between round-filing an application for an Assistant Professor position and placing it on the long-list for consideration. I credit these assertions but would also point out that there are many perfectly acceptable jobs that would not have this absurd criterion.

- Do people take a time-average (i.e. as long as you get 5 papers in 5 years it's fine), or is having a regular output more important (i.e. would prefer to have 1 paper every year as opposed to 2 papers in 1st year and 3 papers in 5th year but nothing in between)?

I would say that it is only once one becomes a PI that it is ever reasonable to look at consistency of output. This particular example would not even be noticed, I would say. And even then it sort of depends on the type of work you do. I know of multiple types of work in my areas of interest (particularly human studies) that have years of data collection followed by a flurry of papers.

When I have recommended shooting for consistent output, being concerned with whether a manuscript submitted to Journal X at this point in the year will have a pub date from this year, etc it has to do mostly with motivation. Most of the time the pace of submission for a postdoc is not going to be easily controlled. The experiments have their own timeline. Things come up. New things need to be done to wrap up the paper. Then there are the many sources of delay in the review process. There is no reason to obsess about 2 in first year / 3 in fifth over meeting a strict rate of 1 per year for 5 years.

The clock is ever ticking, however and since one cannot go back and fill in missing publication-years, one is best keeping one's eye on the prize. If you haven't had a paper in a two year span, well maybe it is better to dump out a quick one, give up on hitting the highest possible IF, etc. You have to make this judgement thinkingly, of course. And no, there are no formulaic answers such as my correspondent seems to be seeking.

Balance. That is my best suggestion.

25 responses so far

A query on your publication practices

This one is mostly for the PIs in the audience but I'm sure trainees will have experiences to share as well.

What fraction of the people who have spent time in your laboratory have ended up with authorships on published papers?

(Including students and techs)

30 responses so far

Repost: Put NIH Row on Your Itinerary

As those of us in the neurosciences prepare for our largest annual scientific gathering, we should attend to a certain little task to assist with the odds of obtaining NIH grant funding. Part of that process is a long game of developing interpersonal relationships with the Program Officers that staff the NIH ICs of interest to our individual research areas. Many scientists find the schmoozing process to be uncomfortable and perhaps even distasteful.

To this I can only reply "Well, do you want to get funded or not?".

This post originally went up Nov 12, 2008. I've edited a few things for links and content.

One of the most important things you are going to do during the upcoming SfN Annual Meeting in Washington DC is to stroll around NIH row. Right?

I have a few thoughts for the trainees after the jump. I did mention that this is a long game, did I not? Continue Reading »

4 responses so far

Start your CV right now, noob grad

Sep 12 2012 Published by under Postgraduate Training

Some Tweep just gave me syncope.

If you are in graduate school or above, start your Full Monty CV.

Right now.

13 responses so far

Scientific trainee pay is pretty dang good right now so stop complaining

I don't know what started the round of "I only got paid X when I was a trainee" on the twitts but I noticed nobody was adjusting for inflation.

Using the US Dept of Labor calculator, I came up with the following.

For an initial frame of general reference, $30K in 2012 is equal to $22K in 2000, $17K in 1990, $11K in 1980 and $5K in 1970.

The grad stipend when I started graduate school was equal to $15.6K in 2012 adjusted dollars. For us, the NSF fellowship was a considerable upgrade and the NSF graduate fellowship from that time is equivalent to $22.6K in 2012.

Interesting. So how are today's trainees doing?

The current NSF stipend is apparently $30K, a 33% increase in adjusted dollars compared to what it was when I was a graduate student. Looking at my old training department, they are offering a 35% increase in stipend over what they were offering when I started, again, in constant dollars.

I also happened to spend some time on NIH training grant funds so I can also report that my starting postdoc salary was $28.6K in 2012 dollars. The current NRSA base is $39.3K, which represents a 37% increase.

The bottom line is this. We're in crap economic times and graduate students and postdocs are getting paid at least 33% more than I was, even going by inflation adjusted dollars.

Stop whining about your salary.

165 responses so far

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